When to use map & map object? in MuleSoft364

 When to use map & map object? in MuleSoft

Here's a breakdown of when to use map and mapObject functions in MuleSoft 4 for data manipulation within your integration flows:

Use map when:

• You're dealing with arrays and need to iterate over each element to perform a transformation.

• You want to create a new array containing the transformed elements.

• Common use cases include:

• Converting elements to a different data type (e.g., strings to numbers).

• Applying a specific logic (e.g., filtering elements based on conditions) to each element.

• Manipulating specific properties within each element of an array of objects.

Example (map function):

%dw 2.0
input: [1, 2, 3]
output: map(input, (value) => value * 2) // Multiplies each element by 2

// Output: [2, 4, 6] (new array with transformed values)

Use mapObject when:

• You're working with objects and need to iterate over their key-value pairs.

• You want to create a new object with the same keys but potentially transformed values.

• Common use cases include:

• Transforming values within an object based on specific logic (e.g., converting strings to uppercase).

• Filtering object properties based on a condition within the transformation function.

• Manipulating specific values associated with keys within the object.

Example (mapObject function):

%dw 2.0
input: { name: "John", age: 30 }
output: mapObject(input, (key, value) =>
  if (key == "age") then value * 2 else value end)

// Output: { name: "John", age: 60 } (new object with transformed age value)

Choosing Between map and mapObject:

The key distinction lies in the data structure you're working with:

• Use map for arrays where you want to transform each element and create a new array.

• Use mapObject for objects where you want to iterate over key-value pairs and potentially transform the values while maintaining the original object structure with new values.

In essence:

• map is ideal for element-wise transformations within arrays.

• mapObject is suited for value transformations within objects.